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author | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-05 14:15:21 -0400 |
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committer | Alex Auvolat <alex.auvolat@ens.fr> | 2015-05-05 14:15:21 -0400 |
commit | 54613c1f9cf510ca7a71d6619418f2247515aec6 (patch) | |
tree | bed9a5a11ef5b7feecee44095a29400e32f76b05 /config/dest_simple_mlp_2_noembed.py | |
parent | 712035b88be1816d3fbd58ce69ae6464767c780e (diff) | |
download | taxi-54613c1f9cf510ca7a71d6619418f2247515aec6.tar.gz taxi-54613c1f9cf510ca7a71d6619418f2247515aec6.zip |
Add models for time predictioAdd models for time prediction
Diffstat (limited to 'config/dest_simple_mlp_2_noembed.py')
-rw-r--r-- | config/dest_simple_mlp_2_noembed.py | 18 |
1 files changed, 18 insertions, 0 deletions
diff --git a/config/dest_simple_mlp_2_noembed.py b/config/dest_simple_mlp_2_noembed.py new file mode 100644 index 0000000..3832146 --- /dev/null +++ b/config/dest_simple_mlp_2_noembed.py @@ -0,0 +1,18 @@ +import model.dest_simple_mlp as model + +import data + +n_begin_end_pts = 5 # how many points we consider at the beginning and end of the known trajectory +n_end_pts = 5 + +n_valid = 1000 + +dim_embeddings = [] # do not use embeddings + +dim_input = n_begin_end_pts * 2 * 2 + sum(x for (_, _, x) in dim_embeddings) +dim_hidden = [200, 100] +dim_output = 2 + +learning_rate = 0.0001 +momentum = 0.99 +batch_size = 32 |